Knight Initiative News

In which Wu Tsai Neuro faculty scholar Laura Gwilliams explores how AI chatbots can model the human brain's language abilities.

In a new study, researchers created an AI model of the mouse visual cortex that predicts neuronal responses to visual images.

Researchers with the Wu Tsai Neuro–funded Stanford Brain Organogenesis project have rebuilt, in laboratory glassware, the neural pathway that sends information from the body’s periphery to the brain.

This week on the podcast, Stanford radiology faculty Kim Butts Pauly and Raag Airan help us dive deep into the brain with focused ultrasound

By studying never-before-seen details of brain connectivity in human infants, researchers at the Wu Tsai Neurosciences Institute have identified how a balance of innate structure and flexible learning produces our remarkably organized visual brains.

In the lab of Lauren O’Connell, associate professor of biology, researchers look to amphibian species to learn how animals evolve in response to changing environments.

Our brains and digestive tracts are in constant communication. When that communication goes off the rails, research suggests diseases and disorders can result.

Stanford Medicine spoke with neurologist Helen Bronte-Stewart, who conducted research that led to the development of a technology recently approved by the U.S. Food and Drug Administration.

The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.

Mice learn fastest and most reliably when they experience an increase in dopamine paired with an inhibition of serotonin in their nucleus accumbens, a new study shows, helping to resolve long-standing questions about the neuromodulators’ relationship.

A new generation of researchers at Stanford’s Wu Tsai Neurosciences Institute is developing tools to modify brain activity for research and clinical applications—without drilling through the skull.

Juliet Knowles's research has recently shown that the brain can use adaptive myelination to perfect “skills” that are actually pathological, such as having seizures.

Stanford Medicine research demonstrates a new way of detecting cells implicated in the malfunctions that cause psychiatric diseases.

New research from the Malenka lab reveals that reward-based learning requires the two neuromodulators to balance one another's influence.

Today, we are going back into the archives for a conversation with neuroscientist, entrepreneur, and best-selling author David Eagleman about the science of synesthesia. If you don't know what that is, you're about to find out.

This week, we talk with our founding director, Bill Newsome, about the 10-year legacy of the NIH BRAIN Initiative and the uncertainty for the future brought on by this year's dramatic funding cuts.

This week we are talking with Stanford neuroscientist Ivan Soltesz about endocannabinoids, illuminating the "day job" of these unusual neurotransmitters and how they may be hijacked by cannabinoid drugs such as THC and CBD.

Laura Gwilliams, a Wu Tsai Neuro faculty scholar, and Brian Hie are the inaugural faculty of Stanford Data Science. Their work spans multiple disciplines but is united by the desire to explore and leverage large volumes of real-world data.

Work on human cognition by the founding director of the Wu Tsai Neuro Center for Mind, Brain, Computation and Technology was foundational for neural-network-based computational modeling 

This week we are talking with Stanford neurobiologist Lisa Giocomo, exploring the intersection of memory, navigation, and the boundaries we create between ourselves and the world around us.